Datasets:
feat(readme): added dataset description to readme
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README.md
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- ru
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- en
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tags:
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- not-for-all-audiences
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- art
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pretty_name: baneks
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size_categories:
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- 10K<n<100K
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-
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---
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language:
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- ru
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- en
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license: apache-2.0
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tags:
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- not-for-all-audiences
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- art
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- humour
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- jokes
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annotation_creators:
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- crowdsourced
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language_creators:
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- crowdsourced
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pretty_name: baneks
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size_categories:
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- 10K<n<100K
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task_categories:
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- text-generation
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---
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# Dataset card for baneks
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## Table of contents
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- [Dataset description](#dataset-description)
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- [Dataset summary](#dataset-summary)
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- [Dataset structure](#dataset-structure)
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- [Dataset instance](#dataset-instance)
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- [Dataset fields](#dataset-fields)
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## Dataset description
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- **Homepage:** [baneks homepage]()
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- **Repository:** [baneks repository](https://huggingface.co/datasets/zeio/baneks)
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- **Point of contact:** [Zeio Nara](mailto:[email protected])
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### Dataset summary
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This dataset contains anekdotes parsed from a few vk social network communities. Since the dataset is regularly updated, there is no fixed number of entries, so stay tuned.
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## Dataset structure
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### Data instance
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An example of an entry from the dataset is given below:
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```json
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{
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"text": "- Папа, а кто такие алкоголики? - Ну, сынок.. Вот, видишь - четыре гендера стоят? А алкоголику кажется, что там восемь гендеров - Пап, там два гендера.",
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"published": "16-09-2023 01:38",
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"id": 497393,
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"n-likes": 13,
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"n-views": 804,
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"accessed": "16-09-2023 01:51",
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"source": "anekdotikategoriib"
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}
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```
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### Data fields
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Each dataset entry therefore consists of the following fields:
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- `text` - text representation of the anecdote;
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- `published` - publication date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
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- `id` - id of the corresponding post;
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- `n-likes` - number of likes received by the corresponding post up to the access date;
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- `n-views` - number of views received by the corresponding post up to the access date;
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- `accessed`- access date of the corresponding post in the format `DD-MM-YYYY hh:mm`;
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- `source` - community name in which the corresponding post has been published.
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